vxcube-api 1.0.1

Dr.Web vxCube API Client

vxcube-api package

vxcube-api is an API client for interacting with Dr.Web vxCube.

Installation

Python 2.7 or later is required to be installed in advance. Install vxcube-api either from the Python Package Index (PyPI):

$ pip install -U vxcube-api

or from source:

$ python setup.py install

Using command line

Dr.Web vxCube API Client supports command line. To get information about available commands, use --help:

$ vxcube_client --help

Command list:

Command	Description
login	Get an API key which must be specified in all other commands
config	Save or delete base-url, version, or api-key parameter values
upload	Upload sample to Dr.Web vxCube server
analyse	Analyse uploaded file
delete	Delete analysis results
download sample	Download sample
download archive	Download archive with analysis results
subscribe_analysis	Get real-time data about analysis progress

Example:

$ vxcube_client config  --api-key aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee
$ vxcube_client upload /path/to/sample
Sample uploaded successful:
    sample_path [id: 2342]
        - format: exe
        - platforms: ['winxpx86', 'win7x86', 'win7x64', 'win10x64']
$ vxcube_client analyse 2342 -p win7x86 -p win10x64 --time 30
$ vxcube_client subscribe_analysis 1516
... 
[win7x86 ] [50%] Waiting for the 3580 (0xdfc) process to be dumped...
[win10x64] [20%] File is running (19 of 30 sec remaining)...
...
All tasks finished:
Task[48151]-win7x86 [successful] maliciousness: 0
Task[62342]-win10x64 [successful] maliciousness: 25

VxCubeApi class

You can write your own script for processing files with VxCubeApi class.

from vxcube_api import VxCubeApi

API_KEY = "aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee"


def main():
    # Create VxCubeApi
    vxcube = VxCubeApi(api_key=API_KEY)

    # Upload sample
    sample = vxcube.upload_sample("sample_path")
    msg = "Sample uploaded successfully: {sample.id}, {sample.format_name}, {sample.platforms}"
    print(msg.format(sample=sample))

    # Start analysis
    analysis = vxcube.start_analysis(
        sample_id=sample.id,
        platforms=sample.platforms[0:2],
        analysis_time=30
    )
    for msg_obj in analysis.subscribe_progress():
        print(msg_obj)

    # Print results
    print("Analysis finished")
    msg = "Task[{task.id}] is {task.status}. Maliciousness: {task.maliciousness}"
    for task in analysis.tasks:
        print(msg.format(task=task))


if __name__ == '__main__':
    main()

More examples

More usage examples are available here.